Automated classification of cancer from fine needle aspiration cytological image use neural networks: A meta‐analysis

BACKGROUND: The role of retrospective analysis has been evolved greatly in cancer research. We undertook this meta‐analysis to evaluate the diagnostic value of Neural networks (NNs) in Fine needle aspiration cytological (FNAC) image of cancer. METHODS: We systematically retrieved 396 literatures on...

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Detalles Bibliográficos
Autores principales: Huang, Jian, Wang, Dongcun, Da, Jiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687103/
https://www.ncbi.nlm.nih.gov/pubmed/32530573
http://dx.doi.org/10.1002/dc.24520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687103/
https://www.ncbi.nlm.nih.gov/pubmed/32530573
http://dx.doi.org/10.1002/dc.24520

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